Yacine Zahidi
ML engineer, disciple of experience.
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About
Yacine Zahidi works in ML & data science and AI engineering, based in Paris, France. ML engineer, disciple of experience. Public projects on GitHub include Youtube Filpside (Youtube Repo for https://www.youtube.com/@BuildWithFlipside), mpc-DL-controller (Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery}…) and Ssl Cifar10 (Simple transfer learning on cifar10 with self-supervised backbone SwAV using Pytorch lightning and bolts), mostly written in Python, Jupyter and C.
Projects 6
Youtube Filpside
Youtube Repo for https://www.youtube.com/@BuildWithFlipside
github.commpc-DL-controller
Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control
github.comSsl Cifar10
Simple transfer learning on cifar10 with self-supervised backbone SwAV using Pytorch lightning and bolts
github.com- github.com
Malaria-Detection-CNN
Convolutionnal Neural Network reaches 94% test accuracy on Malaria cell dataset (https://www.kaggle.com/iarunava/cell-images-for-detecting-malaria)
Training Yolo Heart
Training YOLOv2 on heart scans to detect Left ventricle
github.com3dPrintersSmartFactory
In the context of optimizing the production of a fully connected "smart" 3d printers factory, machine learning methods like Genetic algorithms, Deep Neural Networks as well as more traditional algorithms like Job-shop were used in a simulation environment (Robotic Operating System).
github.com